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20192023
most citedLearning Structural Edits via Incremental Tree Transformations

12 citations · 30 across the 10 of their papers we have counts for

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21 papers · 1 filter

cs.CL2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System

Lingbo Mo, Shijie Chen, Ziru Chen +10

We introduce TacoBot, a user-centered task-oriented digital assistant designed to guide users through complex real-world tasks with multiple steps. Covering a wide range of cooking…

cs.CL2023

Biomedical Language Models are Robust to Sub-optimal Tokenization

Bernal Jiménez Gutiérrez, Huan Sun, Yu Su

As opposed to general English, many concepts in biomedical terminology have been designed in recent history by biomedical professionals with the goal of being precise and concise.…

cs.CL2023

Mind2Web: Towards a Generalist Agent for the Web

Xiang Deng, Yu Gu, Boyuan Zheng +5

We introduce Mind2Web, the first dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website.…

cs.CL2023

Text-to-SQL Error Correction with Language Models of Code

Ziru Chen, Shijie Chen, Michael White +5

Despite recent progress in text-to-SQL parsing, current semantic parsers are still not accurate enough for practical use. In this paper, we investigate how to build automatic text-…

cs.CL2023

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms

Tianshu Zhang, Changchang Liu, Wei-Han Lee +2

This paper studies a new task of federated learning (FL) for semantic parsing, where multiple clients collaboratively train one global model without sharing their semantic parsing…

cs.CL2023

Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Chang-You Tai, Ziru Chen, Tianshu Zhang +2

In-context learning with large language models (LLMs) has recently caught increasing attention due to its superior few-shot performance on various tasks. However, its performance o…